Research Article

A Geometric Fuzzy-Based Approach for Airport Clustering

Table 3

Clustering results with prefixed number of clusters. Criterion: yearly passengers.

MetricsEDFHDKD

Cluster 1 (centre: Roma FCO)
≤20%30, 19, 18, 4, 3630, 19, 18, 430, 19, 18, 4
20%–40%10, 20, 29, 5, 22, 26, 936, 10, 20, 29, 5, 22, 2636, 10, 20, 29, 5, 22
>40%32, 37, 3, 34, 21, 13, 17, 1, 16, 8, 35, 33, 15, 2, 27, 25, 28, 23, 7, 12, 24, 6, 14, 11, 38, 319, 32, 37, 3, 34, 21, 13, 17, 1, 16, 8, 35, 33, 15, 2, 27, 25, 28, 23, 7, 12, 24, 6, 14, 11, 38, 319, 26, 32, 37, 3, 34, 21, 13, 17, 1, 16, 8, 35, 33, 15, 2, 27, 25, 28, 23, 7, 12, 24, 6, 14, 11, 38, 31

Cluster 2 (centre: Napoli Capodichino)
≤20%20, 1020, 1020, 10
20%–40%9, 32, 36, 37, 4, 26, 36, 3, 29, 22,9, 32, 36, 37, 4, 26, 36, 3, 29, 22,9, 32, 36, 37, 4, 26, 36, 3, 29, 22,
>40%18, 30, 19, 26, 5, 21
17, 8, 1, 33, 13, 15, 16, 27, 14, 35, 12, 7, 11, 2, 28, 31, 23, 38, 24, 6
18, 30, 19, 26, 5
21, 17, 8, 1, 33, 13, 15, 16, 27, 14, 35, 12, 7, 11, 2, 28, 31, 23, 38, 24, 6
18, 30, 19, 26, 5
21, 8, 1, 33, 13, 15, 16, 27, 14, 35, 12, 7, 11, 2, 28, 31, 23, 38, 24, 6

Cluster 3 (centre: Lamezia Terme)
≤20%17, 8, 3417, 8, 3417, 8, 34
20%–40%33, 9, 15, 26, 22, 133, 9, 15, 26, 2233, 9, 15, 26, 22
>40%29, 37, 21, 3, 5, 20, 32, 10, 4, 14, 27, 36, 17, 18, 30, 19, 7, 12, 13, 11, 25, 16, 31, 38, 35, 28, 23, 2, 6, 341, 29, 37, 21, 3, 5, 20, 32, 10, 4, 14, 27, 36, 17, 18, 30, 19, 7, 12, 13, 11, 25, 16, 31, 38, 35, 28, 23, 2, 6, 341, 29, 37, 21, 3, 5, 20, 32, 10, 4, 14, 27, 36, 17, 18, 30, 19, 7, 12, 13, 11, 25, 16, 31, 38, 35, 28, 23, 2, 6, 34

Cluster 4 (centre: Reggio Calabria)
≤20%27, 7, 1227, 7, 1227, 7, 12
20%–40%25, 11, 15, 31, 38, 1425, 11, 15, 31, 3825, 11, 15, 31, 38
>40%33, 16, 13, 8, 17, 28, 23, 35, 34, 26, 9, 22, 29, 2, 6, 24, 1, 21, 5, 20, 3, 32, 10, 4, 36, 18, 30, 1914, 33, 16, 13, 8, 17, 28, 23, 35, 34, 26, 9, 22, 29, 2, 6, 24, 1, 21, 5, 20, 3, 32, 10, 4, 36, 18, 30, 1914, 33, 16, 13, 8, 17, 28, 23, 35, 34, 26, 9, 22, 29, 2, 6, 24, 1, 21, 5, 20, 3, 32, 10, 4, 36, 18, 30, 19